A novel adaptive genetic algorithms
Depeng Liu, Shuting Feng · 2005
This work presents a modified genetic algorithm that is based on the tuning of the mutation probability by the value of individual fitness. The fine modular in current generation is easy to survive in the offspring, and at the same time, the variety of the population is also guaranteed. In the modified scheme, the order of crossover and mutation is changed in order to avoid the repetition in the computation of individual fitness. Simulation result have shown that the modified scheme is prior to the GAs commonly used.